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arabert_baseline_relevance_task1_fold1

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  1. README.md +36 -21
  2. model.safetensors +1 -1
  3. runs/Aug27_16-09-30_353807a3cce0/events.out.tfevents.1724774972.353807a3cce0.22.0 +3 -0
  4. runs/Aug27_16-10-58_353807a3cce0/events.out.tfevents.1724775059.353807a3cce0.22.1 +3 -0
  5. training_args.bin +1 -1
README.md CHANGED
@@ -14,9 +14,9 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [aubmindlab/bert-base-arabertv02](https://huggingface.co/aubmindlab/bert-base-arabertv02) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.2514
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- - Qwk: 0.0808
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- - Mse: 0.2559
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  ## Model description
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@@ -41,27 +41,42 @@ The following hyperparameters were used during training:
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  - seed: 42
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  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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  - lr_scheduler_type: linear
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- - num_epochs: 5
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  ### Training results
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- | Training Loss | Epoch | Step | Validation Loss | Qwk | Mse |
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- |:-------------:|:------:|:----:|:---------------:|:-------:|:------:|
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- | No log | 0.3333 | 2 | 1.1076 | -0.0049 | 1.0949 |
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- | No log | 0.6667 | 4 | 0.2779 | 0.0 | 0.2800 |
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- | No log | 1.0 | 6 | 0.2271 | 0.3467 | 0.2294 |
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- | No log | 1.3333 | 8 | 0.2361 | 0.1667 | 0.2359 |
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- | No log | 1.6667 | 10 | 0.1985 | 0.1250 | 0.2028 |
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- | No log | 2.0 | 12 | 0.2232 | 0.0 | 0.2304 |
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- | No log | 2.3333 | 14 | 0.2167 | 0.0 | 0.2237 |
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- | No log | 2.6667 | 16 | 0.2206 | 0.0 | 0.2259 |
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- | No log | 3.0 | 18 | 0.2075 | 0.0 | 0.2127 |
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- | No log | 3.3333 | 20 | 0.2078 | 0.0 | 0.2132 |
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- | No log | 3.6667 | 22 | 0.2183 | 0.0 | 0.2235 |
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- | No log | 4.0 | 24 | 0.2326 | 0.0 | 0.2375 |
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- | No log | 4.3333 | 26 | 0.2498 | 0.0392 | 0.2543 |
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- | No log | 4.6667 | 28 | 0.2547 | 0.0392 | 0.2590 |
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- | No log | 5.0 | 30 | 0.2514 | 0.0808 | 0.2559 |
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ### Framework versions
 
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  This model is a fine-tuned version of [aubmindlab/bert-base-arabertv02](https://huggingface.co/aubmindlab/bert-base-arabertv02) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.1576
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+ - Qwk: 0.2222
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+ - Mse: 0.1601
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  ## Model description
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  - seed: 42
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  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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  - lr_scheduler_type: linear
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+ - num_epochs: 10
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  ### Training results
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+ | Training Loss | Epoch | Step | Validation Loss | Qwk | Mse |
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+ |:-------------:|:------:|:----:|:---------------:|:------:|:------:|
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+ | No log | 0.3333 | 2 | 0.9197 | 0.0278 | 0.9116 |
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+ | No log | 0.6667 | 4 | 0.1428 | 0.2105 | 0.1467 |
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+ | No log | 1.0 | 6 | 0.1823 | 0.3467 | 0.1888 |
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+ | No log | 1.3333 | 8 | 0.1817 | 0.0808 | 0.1888 |
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+ | No log | 1.6667 | 10 | 0.2156 | 0.0 | 0.2206 |
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+ | No log | 2.0 | 12 | 0.1825 | 0.0 | 0.1849 |
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+ | No log | 2.3333 | 14 | 0.1725 | 0.0392 | 0.1727 |
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+ | No log | 2.6667 | 16 | 0.2068 | 0.0392 | 0.2060 |
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+ | No log | 3.0 | 18 | 0.1522 | 0.0808 | 0.1531 |
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+ | No log | 3.3333 | 20 | 0.1588 | 0.1250 | 0.1623 |
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+ | No log | 3.6667 | 22 | 0.1635 | 0.1250 | 0.1682 |
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+ | No log | 4.0 | 24 | 0.1609 | 0.0808 | 0.1658 |
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+ | No log | 4.3333 | 26 | 0.1526 | 0.0808 | 0.1565 |
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+ | No log | 4.6667 | 28 | 0.1503 | 0.0392 | 0.1529 |
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+ | No log | 5.0 | 30 | 0.1548 | 0.0392 | 0.1558 |
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+ | No log | 5.3333 | 32 | 0.1602 | 0.0808 | 0.1608 |
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+ | No log | 5.6667 | 34 | 0.1480 | 0.1720 | 0.1493 |
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+ | No log | 6.0 | 36 | 0.1509 | 0.2759 | 0.1526 |
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+ | No log | 6.3333 | 38 | 0.1504 | 0.3333 | 0.1525 |
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+ | No log | 6.6667 | 40 | 0.1502 | 0.3333 | 0.1526 |
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+ | No log | 7.0 | 42 | 0.1518 | 0.1720 | 0.1539 |
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+ | No log | 7.3333 | 44 | 0.1602 | 0.1250 | 0.1617 |
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+ | No log | 7.6667 | 46 | 0.1798 | 0.1250 | 0.1806 |
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+ | No log | 8.0 | 48 | 0.1921 | 0.2364 | 0.1927 |
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+ | No log | 8.3333 | 50 | 0.1893 | 0.2364 | 0.1900 |
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+ | No log | 8.6667 | 52 | 0.1769 | 0.2222 | 0.1778 |
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+ | No log | 9.0 | 54 | 0.1663 | 0.2759 | 0.1678 |
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+ | No log | 9.3333 | 56 | 0.1609 | 0.2759 | 0.1629 |
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+ | No log | 9.6667 | 58 | 0.1584 | 0.2222 | 0.1608 |
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+ | No log | 10.0 | 60 | 0.1576 | 0.2222 | 0.1601 |
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  ### Framework versions
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